Method for Restoring Urban Rail Transit Passenger Spatio-Temporal Paths in Consideration of Congestion

Abstract

Objective Passenger flow is the pillar for operation and management of urban rail transit. With the increasing development of urban rail transit, the demand for meticulous and accurate passenger flow analysis is getting higher and higher. To improve the accuracy of passenger flow allocation, it is necessary to study the process and method of passenger spatio-temporal path selection in urban rail transit. Method Firstly, according to the characteristics of urban rail transit, the shortest path algorithms between various ODs (original and destination) is improved based on the simplified network structure model of the transfer station network. Secondly, based on the relative and absolute thresholds for path cost allowable area, the effective physical path is screened. Then the spacio-temporal paths are constructed according to the data including the passenger entry and exit time, the walking time for transfer and the train schedule, and the set of feasible spacio-temporal paths is searched. Finally, with the simulation concept, the influence of train congestion on passenger boarding behavior is restored through time evolution, and passengers′ choices of spacio-temporal paths are reasonably determined from the microscopic level, and the spacio-temporal distribution state of passenger flow in the network comes into being with the superimposed individual spacio-temporal positions. Result & Conclusion The example of Nanning Metro shows that with inbound and outbound OD as the source data,the proposed method can output not only the traditional passenger transfer volume and sectional passenger flow volume, but also the elaborate passenger OD spacio-temporal data as well as the passenger flow on and off trains data, making up the gap of micro passenger flow data.

Keywords

• urban rail transit
• spatio-temporal path
• passenger flow distribution
• congestion
• accuracy